Trial reportPloS one2014
Scale-free functional connectivity of the brain is maintained in anesthetized healthy participants but not in patients with unresponsive wakefulness syndrome.
Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A methodological guideline for consciousness assessment via neural electrophysiological activity.Military Medical Research · 2025Guideline
- Resting brain activity in disorders of consciousness: a systematic review and meta-analysis.Neurology · 2015Pooled it
- Detecting EEG index of arousal in sleeping patients with unresponsive wakefulness syndrome.iScience · 2026Article
- Critical Dynamics in the Association Cortex Predict Higher Intelligence in Typically Developing Children.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Critical dynamics in spontaneous EEG predict anesthetic-induced loss of consciousness and perturbational complexity.Communications biology · 2024Article
- Critical-like Brain Dynamics in a Continuum from Second- to First-Order Phase Transition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Criticality of resting-state EEG predicts perturbational complexity and level of consciousness during anesthesia.bioRxiv : the preprint server for biology · 2023Article
- A systematic approach to brain dynamics: cognitive evolution theory of consciousness.Cognitive neurodynamics · 2023Article
- A scoping review for building a criticality-based conceptual framework of altered states of consciousness.Frontiers in systems neuroscience · 2023Article
- The complexity of the stream of consciousness.Communications biology · 2022Article
- Self-organized criticality as a framework for consciousness: A review study.Frontiers in psychology · 2022Article
- Resting state network mapping in individuals using deep learning.Frontiers in neurology · 2022Article
- Consciousness and complexity: a consilience of evidence.Neuroscience of consciousness · 2021Review
- Improved dynamic connection detection power in estimated dynamic functional connectivity considering multivariate dependencies between brain regions.Human brain mapping · 2020Article
- Why Brain Criticality Is Clinically Relevant: A Scoping Review.Frontiers in neural circuits · 2020Article
- Fractal dimension of cortical functional connectivity networks & severity of disorders of consciousness.PloS one · 2020Article
- General Anesthesia: A Probe to Explore Consciousness.Frontiers in systems neuroscience · 2019Article
- Role of Network Science in the Study of Anesthetic State Transitions.Anesthesiology · 2018Review
- Brain imaging reveals covert consciousness during behavioral unresponsiveness induced by propofol.Scientific reports · 2018Article
- Neural Correlates of Unconsciousness in Large-Scale Brain Networks.Trends in neurosciences · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Loss of consciousness in anesthetized healthy participants and in patients with unresponsive wakefulness syndrome (UWS) is associated with substantial alterations of functional connectivity across large-scale brain networks. Yet, a prominent distinction between the two cases is that after anesthesia, brain connectivity and consciousness are spontaneously restored, whereas in patients with UWS this restoration fails to occur, but why? A possible explanation is that the self-organizing capability of the brain is compromised in patients with UWS but not in healthy participants undergoing anesthesia. According to the theory of self-organized criticality, many natural complex systems, including the brain, evolve spontaneously to a critical state wherein system behaviors display spatial and/or temporal scale-invariant characteristics. Here we tested the hypothesis that the scale-free property of brain network organization is in fact fundamentally different between anesthetized healthy participants and UWS patients. We introduced a novel, computationally efficient approach to determine anatomical-functional parcellation of the whole-brain network at increasingly finer spatial scales. We found that in healthy participants, scale-free distributions of node size and node degree were present across wakefulness, propofol sedation, and recovery, despite significant propofol-induced functional connectivity changes. In patients with UWS, the scale-free distribution of node degree was absent, reflecting a fundamental difference between the two groups in adaptive reconfiguration of functional interaction between network components. The maintenance of scale-invariance across propofol sedation in healthy participants suggests the presence of persistent, on-going self-organizing processes to a critical state--a capacity that is compromised in patients with UWS.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.